Visualization analysis of the research status of FU Qingzhu’s Obstetrics and Gynecology based on bibliometrics
- Author:
TIAN Sainan
1
;
PENG Qinghua
1
;
CHEN Yinan
2
;
LAN Congying
3
;
YAN Junfeng
1
,
4
Author Information
1. Chinese Medicine Diagnostic Institute, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China
2. School of Resources and Environmental Science, Wuhan University, Wuhan, Hubei 430079, China
3. Kidney Disease Department, Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518034, China
4. School of Informatics, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China
- Publication Type:Journal Article
- From:
Digital Chinese Medicine
2022;5(1):93-102
- CountryChina
- Language:English
-
Abstract:
Objective This study examined the research status and development process of FU Qingzhu’s Obstetrics and Gynecology (Fu Qing Zhu Nv Ke,《傅青主女科》, FQZNK) in the past 40 years with bibliometrics and visual analysis. Methods Retrieved all related literature in the research field of FQZNK from the domestic and foreign databases: China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Database, and Web of Science (WOS) core database, including Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), and Arts & Humanities Citation Index (A&HCI). The search range was from January 1, 1980 to March 10, 2021. In addition, bibliometrics and CiteSpace 5.7.R2 software were used to analyze literature types, published journals, cited literature, the number of author publications, co-author networks, co-institution networks, keyword co-occurrence networks, keyword clusters, and keyword bursts. Results A total of 678 valid records were included in the final dataset. Literature types, high publication journals, highly cited literature, high-yield institutions, high-yield research teams, and high-productivity scholars in this research field were found through bibliometrics. Literature types can be divided into four categories, among which 451 are theoretical studies on academic thoughts of FQZNK, accounting for 66.5% of the included journals. The Journal of Shanxi Traditional Chinese Medicine had the largest volume of published articles (61), accounting for 9.0% of the total number of the included journals. The most cited literature was ZHOU Mingxin’s article “Using the quantitative method to discuss author’s authenticity and formula characteristics of FU Qingzhu’s Obstetrics and Gynecology”, which was cited 94 times. Hunan University of Chinese Medicine, the institution with the most publications, published 45 articles, and YOU Zhaoling, the most published author, published 33 articles. Moreover, it was found that most high-yield researchers came from high-yield institutions and that Hunan University of Chinese Medicine had the most research on FQZNK. Keyword co-occurrence analysis revealed that the keyword “FQZNK” had the highest frequency (597 times) and the highest centrality (1.00). Keyword cluster analysis used the Log-Likelihood Ratio (LLR) algorithm to form eleven important clusters: #0 treatment aiming at its root causes, #1 gynecopathy, #2 Siwu Decoction (四物汤), #3 FU Qingzhu, #4 post-partum, #5 infertility, #6 dysmenorrhea, #7 sterility, #8 coordinate the heart and kidney, #9 Danggui Buxue Decoction (当归补血汤), and #10 treatment. It was found that the prescriptions of FQZNK were studied mainly before 2000, the theoretical studies were mainly conducted before 2010, and its clinical application was mainly explored from 2010 until now. Diseases such as dysmenorrhea, morbid vaginal discharge, infertility, metrorrhagia, and polycystic ovarian syndrome (PCOS) have recently become popular topics in this field. Conclusion The current study provides more scientific, accurate, and comprehensive scientific support for further research and development of traditional Chinese medicine (TCM) in FQZNK. With this foundation, people can use burst detection to ascertain the current hotspots in research, get their development trends, and forecast future research directions. In addition, infertility, morbid vaginal discharge, flooding, and PCOS treatments based on TCM syndrome differentiation are currently popular research topics for FQZNK.
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